temporal-data

SirixDB is an an embeddable, bitemporal, append-only database system and event store, storing immutable lightweight snapshots. It keeps the full history of each resource. Every commit stores a space-efficient snapshot through structural sharing. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach.

kotlin java hashing diff json keycloak storage xml coroutines snapshot versioning comparison vertx xquery ssd diffing hacktoberfest temporal-data diff-algorithm jsoniq

UpdatedMar 20, 2025
Roff

KimMeen /Awesome-GNN4TS

Star730

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

awesome time-series survey time-series-analysis temporal-data time-series-classification time-series-forecasting graph-neural-networks dynamic-graphs spatial-temporal-forecasting temporal-graphs time-series-anomaly-detection time-series-imputation spatial-temporal-data graph-structure-learning

UpdatedAug 9, 2024

google /temporian

Star689

Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖

python time-series cpp feature-engineering temporal-data

UpdatedJul 25, 2024
Python

woojeongjin /dynamic-KG

Star592

Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

dynamic knowledge-graph knowledge-base knowledge-graph-completion temporal-data

UpdatedSep 15, 2020

TorchSpatiotemporal /tsl

Star312

tsl: a PyTorch library for processing spatiotemporal data.

deep-learning pytorch spatiotemporal spatio-temporal spatio-temporal-analysis spatio-temporal-data temporal-data spatio-temporal-prediction graph-neural-networks gnn spatiotemporal-forecasting spatio-temporal-graph temporal-graphs spatiotemporal-data-analysis spatiotemporal-data

UpdatedFeb 18, 2025
Python

ant-research /EasyTemporalPointProcess

Star286

EasyTPP: Towards Open Benchmarking Temporal Point Processes

benchmarking time-series machine-learning-algorithms stochastic-processes temporal-data

UpdatedFeb 6, 2025
Python

buds-lab /the-building-data-genome-project

Star186

A collection of non-residential buildings for performance analysis and algorithm benchmarking

jupyter-notebook open-data feature-extraction smart-meter feature-engineering energy-efficiency temporal-data electricity-meter commercial-building electrical-meters

UpdatedMar 30, 2021
Jupyter Notebook

DAMO-DI-ML /AI-for-Time-Series-Papers-Tutorials-Surveys

Star162

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

data-science machine-learning data-mining ai deep-learning time-series forecasting spatio-temporal-analysis anomaly-detection temporal-data temporal-point-processes

UpdatedJun 10, 2022

Breinify /brein-time-utilities

Star127

Library which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.

java time data-structure timeseries time-series container series bucket index timeinterval interval-tree interval time-interval index-structure time-utils temporal-data intervaltree temporaldata time-driven

UpdatedFeb 26, 2025
Java

TrainingByPackt /Interactive-Data-Visualization-with-Python

Star105

Present your data as an effective and compelling story

python pandas seaborn scatter-plot interactive-storytelling interactive-visualizations altair datavisualization temporal-data geoplotlib choropleth-maps bokeh-widgets

UpdatedJan 16, 2020
Jupyter Notebook

whyisyoung /BODMAS

Star77

Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.

malware malware-research open-datasets temporal-data malware-dataset pe-malware

UpdatedMar 31, 2024
Python

eth-ait /spl

Star58

Structured Prediction Helps 3D Human Motion Modelling - ICCV '19

temporal-data sequence-models structured-prediction motion-models motion-forecasting motion-prediction

UpdatedJun 15, 2023
Python

CAMMA-public /ConvLSTM-Surgical-Tool-Tracker

Star40

This repo contains an implementation code for the weakly supervised surgical tool tracker. In this research, the temporal dependency in surgical video data is modeled using a convolutional LSTM which is trained only on image level labels to detect, localize and track surgical instruments.

tracking localization deep-learning analysis detection lstm convolutional-neural-network weakly-supervised-learning temporal-data video-analysis convlstm surgical-tools temporal-convolutional-network endoscopic-images surgical-video surgical-instrument